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Remote Labeler Jobs (NOW HIRING)

UMT - Internal

Director, Label Services

New York, NY · On-site +1

$150K - $175K/yr

This role is based in Brooklyn, New York with four days in-office and one day remote. What You'll Do * Partner with VP of Label Services and current Label Relations Director to contribute to the BD ...

Upstart

Senior Software Engineer, White Label Platform

OR · On-site +1

$122K - $161K/yr

The White Label Platform team owns the end to end white label offering at Upstart. The team ... Remote Travel requirements As a digital first company, the majority of your work can be ...

VALENCIA LABEL INC

Outside Sales

Valencia, CA · Remote

$1.5K - $10K/mo

Sales Representative - Industrial Labels & Barcode Printing Solutions (1099 Independent Contractor ... schedule Remote or territory-based Quality leads provided What Sets This Opportunity Apart ...

VALENCIA LABEL INC

Outside Sales

Valencia, CA · Remote

$1.5K - $10K/mo

Sales Representative - Industrial Labels & Barcode Printing Solutions (1099 Independent Contractor ... schedule Remote or territory-based Quality leads provided What Sets This Opportunity Apart ...

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Remote Labeler information

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$10

$13

$17

How much do remote labeler jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote labeler in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many remote labelers work as independent contractors, which can affect pay rates and benefits.

How can I make 2000 a week working from home?

A remote labeler can potentially earn $2,000 per week by working full-time hours, often 40 hours or more, and gaining experience or specialized skills in data annotation or image labeling. Increasing income may involve taking on multiple projects, improving efficiency, or working for companies that pay higher rates for quality work. Consistent, high-volume work and reliable performance are key to reaching this income level.

How to make $1000 a week remote?

A remote labeler can potentially earn $1000 a week by working full-time hours, often 40 hours or more, and increasing productivity or taking on multiple projects. Building skills in image annotation tools and maintaining consistent quality can help secure higher-paying tasks or multiple clients, but earnings depend on workload, pay rates, and experience.

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

Is data labeling work from home?

Data labeling jobs, including remote labeler positions, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific requirements may vary by employer.
More about Remote Labeler jobs
What cities are hiring for Remote Labeler jobs? Cities with the most Remote Labeler job openings:
What are the most commonly searched types of Labeler jobs? The most popular types of Labeler jobs are:
What states have the most Remote Labeler jobs? States with the most job openings for Remote Labeler jobs include:
What job categories do people searching Remote Labeler jobs look for? The top searched job categories for Remote Labeler jobs are:
Remote Labeler jobs near you
Infographic showing various Remote Labeler job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.
Generative AI Data Analyst - USA (Remote)

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 6 days ago

Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.